The non-homologous end-joining factor Nej1 inhibits resection mediated by Dna2–Sgs1 nuclease-helicase at DNA double strand breaks
Bibliographic record
Abstract
Double strand breaks (DSBs) represent highly deleterious DNA damage and need to be accurately repaired. Homology-directed repair and non-homologous end joining (NHEJ) are the two major DSB repair pathways that are highly conserved from yeast to mammals. The choice between these pathways is largely based on 5′ to 3′ DNA resection, and NHEJ proceeds only if resection has not been initiated. In yeast, yKu70/80 rapidly localizes to the break, protecting DNA ends from nuclease accessibility, and recruits additional NHEJ factors, including Nej1 and Lif1. Cells harboring the nej1 -V338A mutant exhibit NHEJ-mediated repair deficiencies and hyper-resection 0.15 kb from the DSB that was dependent on the nuclease activity of Dna2–Sgs1. The integrity of Nej1 is also important for inhibiting long-range resection, 4.8 kb from the break, and for preventing the formation of large genomic deletions at sizes >700 bp around the break. Nej1 V338A localized to a DSB similarly to WT Nej1, indicating that the Nej1–Lif1 interaction becomes critical for blocking hyper-resection mainly after their recruitment to the DSB. This work highlights that Nej1 inhibits 5′ DNA hyper-resection mediated by Dna2–Sgs1, a function distinct from its previously reported role in supporting Dnl4 ligase activity, and has implications for repair pathway choice and resection regulation upon DSB formation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".